An automated method for determining which diseases are mentioned in biomedical text, the task of disease normalization. DNorm is a high-performing and mathematically principled framework for learning similarities between mentions and concept names directly from training data. DNorm is the first technique to use machine learning to normalize disease names and also the first method employing pairwise learning to rank in a normalization task.

Type:

Desktop

DNorm specifications

Unique identifier:

OMICS_09127

Interface:

Command line interface

Operating system:

Unix/Linux

Stability:

Stable

Software type:

Package/Module

Restrictions to use:

None

Computer skills:

Advanced

Maintained:

Yes

Animals

Homo sapiens

versioning

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